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Results 31 - 40 of 198 for host:beam.apache.org (0.03 sec)
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Beam Java SDK
Apache Beam is an open source, unified model and set of language-specific SDKs for defining and executing data processing workflows, and also data ingestion and integration flows, supporting Enterprise Integration Patterns (EIPs) and Domain Specific Languages (DSLs). Dataflow pipelines simplify the mechanics of large-scale batch and streaming data processing and can run on a number of runtimes like Apache Flink, Apache Spark, and Google Cloud Dataflow (a cloud service). Beam also brings DSL in different languages, allowing users to easily implement their data integration processes.beam.apache.org/documentation/sdks/java/Registered: Fri Apr 19 00:03:49 UTC 2024 - Last Modified: Mon Apr 08 17:38:27 UTC 2024 - 26.4K bytes - Viewed (0) -
About Beam ML
Apache Beam is an open source, unified model and set of language-specific SDKs for defining and executing data processing workflows, and also data ingestion and integration flows, supporting Enterprise Integration Patterns (EIPs) and Domain Specific Languages (DSLs). Dataflow pipelines simplify the mechanics of large-scale batch and streaming data processing and can run on a number of runtimes like Apache Flink, Apache Spark, and Google Cloud Dataflow (a cloud service). Beam also brings DSL in different languages, allowing users to easily implement their data integration processes.beam.apache.org/documentation/ml/about-ml/Registered: Fri Apr 19 00:06:44 UTC 2024 - Last Modified: Thu Apr 18 11:38:04 UTC 2024 - 72.3K bytes - Viewed (0) -
Pattern for grouping elements for efficient ext...
Apache Beam is an open source, unified model and set of language-specific SDKs for defining and executing data processing workflows, and also data ingestion and integration flows, supporting Enterprise Integration Patterns (EIPs) and Domain Specific Languages (DSLs). Dataflow pipelines simplify the mechanics of large-scale batch and streaming data processing and can run on a number of runtimes like Apache Flink, Apache Spark, and Google Cloud Dataflow (a cloud service). Beam also brings DSL in different languages, allowing users to easily implement their data integration processes.beam.apache.org/documentation/patterns/grouping-elements-for-efficient-external-service-calls/Registered: Fri Apr 19 00:07:24 UTC 2024 - Last Modified: Thu Apr 18 11:38:04 UTC 2024 - 42.8K bytes - Viewed (0) -
RunInference
Apache Beam is an open source, unified model and set of language-specific SDKs for defining and executing data processing workflows, and also data ingestion and integration flows, supporting Enterprise Integration Patterns (EIPs) and Domain Specific Languages (DSLs). Dataflow pipelines simplify the mechanics of large-scale batch and streaming data processing and can run on a number of runtimes like Apache Flink, Apache Spark, and Google Cloud Dataflow (a cloud service). Beam also brings DSL in different languages, allowing users to easily implement their data integration processes.beam.apache.org/documentation/transforms/python/elementwise/runinference/Registered: Fri Apr 19 00:07:34 UTC 2024 - Last Modified: Thu Apr 18 11:38:04 UTC 2024 - 41K bytes - Viewed (0) -
RunInference with PyTorch
Apache Beam is an open source, unified model and set of language-specific SDKs for defining and executing data processing workflows, and also data ingestion and integration flows, supporting Enterprise Integration Patterns (EIPs) and Domain Specific Languages (DSLs). Dataflow pipelines simplify the mechanics of large-scale batch and streaming data processing and can run on a number of runtimes like Apache Flink, Apache Spark, and Google Cloud Dataflow (a cloud service). Beam also brings DSL in different languages, allowing users to easily implement their data integration processes.beam.apache.org/documentation/transforms/python/elementwise/runinference-pytorch/Registered: Fri Apr 19 00:07:37 UTC 2024 - Last Modified: Thu Apr 18 11:38:04 UTC 2024 - 52.4K bytes - Viewed (0) -
ParDo
Apache Beam is an open source, unified model and set of language-specific SDKs for defining and executing data processing workflows, and also data ingestion and integration flows, supporting Enterprise Integration Patterns (EIPs) and Domain Specific Languages (DSLs). Dataflow pipelines simplify the mechanics of large-scale batch and streaming data processing and can run on a number of runtimes like Apache Flink, Apache Spark, and Google Cloud Dataflow (a cloud service). Beam also brings DSL in different languages, allowing users to easily implement their data integration processes.beam.apache.org/documentation/transforms/python/elementwise/pardo/Registered: Fri Apr 19 00:06:15 UTC 2024 - Last Modified: Thu Apr 18 11:38:04 UTC 2024 - 47.4K bytes - Viewed (0) -
Python transform catalog overview
Apache Beam is an open source, unified model and set of language-specific SDKs for defining and executing data processing workflows, and also data ingestion and integration flows, supporting Enterprise Integration Patterns (EIPs) and Domain Specific Languages (DSLs). Dataflow pipelines simplify the mechanics of large-scale batch and streaming data processing and can run on a number of runtimes like Apache Flink, Apache Spark, and Google Cloud Dataflow (a cloud service). Beam also brings DSL in different languages, allowing users to easily implement their data integration processes.beam.apache.org/documentation/transforms/python/overview/Registered: Fri Apr 19 00:06:32 UTC 2024 - Last Modified: Thu Apr 18 11:38:04 UTC 2024 - 45.9K bytes - Viewed (0) -
Multi-model pipelines
Apache Beam is an open source, unified model and set of language-specific SDKs for defining and executing data processing workflows, and also data ingestion and integration flows, supporting Enterprise Integration Patterns (EIPs) and Domain Specific Languages (DSLs). Dataflow pipelines simplify the mechanics of large-scale batch and streaming data processing and can run on a number of runtimes like Apache Flink, Apache Spark, and Google Cloud Dataflow (a cloud service). Beam also brings DSL in different languages, allowing users to easily implement their data integration processes.beam.apache.org/documentation/ml/multi-model-pipelines/Registered: Fri Apr 19 00:05:43 UTC 2024 - Last Modified: Thu Apr 18 11:38:04 UTC 2024 - 47.1K bytes - Viewed (0) -
Regex
Apache Beam is an open source, unified model and set of language-specific SDKs for defining and executing data processing workflows, and also data ingestion and integration flows, supporting Enterprise Integration Patterns (EIPs) and Domain Specific Languages (DSLs). Dataflow pipelines simplify the mechanics of large-scale batch and streaming data processing and can run on a number of runtimes like Apache Flink, Apache Spark, and Google Cloud Dataflow (a cloud service). Beam also brings DSL in different languages, allowing users to easily implement their data integration processes.beam.apache.org/documentation/transforms/python/elementwise/regex/Registered: Fri Apr 19 00:06:47 UTC 2024 - Last Modified: Thu Apr 18 11:38:04 UTC 2024 - 52.3K bytes - Viewed (0) -
Auto Update ML models using WatchFilePattern
Apache Beam is an open source, unified model and set of language-specific SDKs for defining and executing data processing workflows, and also data ingestion and integration flows, supporting Enterprise Integration Patterns (EIPs) and Domain Specific Languages (DSLs). Dataflow pipelines simplify the mechanics of large-scale batch and streaming data processing and can run on a number of runtimes like Apache Flink, Apache Spark, and Google Cloud Dataflow (a cloud service). Beam also brings DSL in different languages, allowing users to easily implement their data integration processes.beam.apache.org/documentation/ml/side-input-updates/Registered: Fri Apr 19 00:06:58 UTC 2024 - Last Modified: Thu Apr 18 11:38:04 UTC 2024 - 56.6K bytes - Viewed (0)